Sachi Gupta

628 citations
26 papers · 347 · h-index 11

Impact in

Papers in

Sachi Gupta

23 papers receiving 318 citations

Peers

Sachi Gupta
Comparison fields: 5 of 86
  • Health Informatics 10
  • Computer Networks and Communications 117
  • Information Systems 95
  • Hardware and Architecture 24
  • Industrial and Manufacturing Engineering 18
Replace Fahed Jubair with:
Fahed Jubair Jordan
Kapil Kumar Gupta India
Mohd Adham Isa Malaysia
Dimitris Mitropoulos Greece
Najm Us Sama Malaysia
Neetu Mittal India
Divya Midhunchakkaravarthy Malaysia
Ghadah Naif Alwakid Saudi Arabia
Payam Mousavi Canada
Jinwei Liu United States
Sachi Gupta relative to Fahed Jubair Jordan Fahed Jubair's profile →
Citations per field
00.5×
Fahed Jubair · 1×
Citations per year

Countries citing papers authored by Sachi Gupta

Since Specialization
Citations

This map shows the geographic impact of Sachi Gupta's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sachi Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sachi Gupta more than expected).

Fields of papers citing papers by Sachi Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sachi Gupta. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sachi Gupta. The network helps show where Sachi Gupta may publish in the future.

Co-authors

The 25 scholars most cited alongside Sachi Gupta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sachi Gupta Line = papers co-authored together Sachi Gupta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202067
2 202258
3 201050
4 202327
5 202220
6 202317
7 202116
8 201816
9 200815
10 201313
11 202311
12 201310
13 20139
14 20245
15 20233
16 20102
17
Resource Management, Issues, Challenges and Future Directions in Fog Computing: A Comprehensive Survey
20212
18 20241
19 20231
20 20241

About Sachi Gupta

Sachi Gupta is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 26 papers that have together received 347 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (6 papers), Cloud Computing and Resource Management (5 papers), Parallel Computing and Optimization Techniques (3 papers), Distributed and Parallel Computing Systems (3 papers), Cutaneous Melanoma Detection and Management (2 papers), Context-Aware Activity Recognition Systems (2 papers), Autoimmune Bullous Skin Diseases (2 papers) and Web Data Mining and Analysis (2 papers). The work is most often cited by research in Health Informatics (10 citations), Computer Networks and Communications (117 citations), Information Systems (95 citations), Hardware and Architecture (24 citations) and Industrial and Manufacturing Engineering (18 citations). Sachi Gupta has collaborated with scholars based in India, Canada and Saudi Arabia. Frequent co-authors include Gaurav Agarwal, Vikas Kumar, Abhishek De, Aarti Sarda, Sudip Das, Poongodi Manoharan, Abeer D. Algarni, Kaamran Raahemifar, Atul Kumar and Rakesh Ahuja. Their work appears in journals such as Multimedia Tools and Applications, Electronics, Knowledge-Based Systems, Indian Journal of Dermatology and Dermatology Online Journal.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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